2024
Deep Nets with Subsampling Layers Unwittingly Discard Useful Activations at Test-Time
ECCV 2024poster
"Subsampling layers play a crucial role in deep nets by discarding a portion of an activation map to reduce its spatial dimensions. This encourages the deep net to learn higher-level representations. Contrary to this motivation, we hypothesize that the discarded activations are useful and can be inc…